Text Classification
Transformers
Safetensors
English
modernbert
ai-text-detection
raid
text-embeddings-inference
Instructions to use tabularisai/ai-text-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tabularisai/ai-text-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tabularisai/ai-text-detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tabularisai/ai-text-detection") model = AutoModelForSequenceClassification.from_pretrained("tabularisai/ai-text-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tabularisai/ai-text-detection: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/tabularisai/ai-text-detection/resolve/main/tokenizer.json
- Command line
-
hf download hf://tabularisai/ai-text-detection/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tabularisai/ai-text-detection/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.